SOTAVerified

Lemmatization

Lemmatization is a process of determining a base or dictionary form (lemma) for a given surface form. Especially for languages with rich morphology it is important to be able to normalize words into their base forms to better support for example search engines and linguistic studies. Main difficulties in Lemmatization arise from encountering previously unseen words during inference time as well as disambiguating ambiguous surface forms which can be inflected variants of several different base forms depending on the context.

Source: Universal Lemmatizer: A Sequence to Sequence Model for Lemmatizing Universal Dependencies Treebanks

Papers

Showing 341350 of 351 papers

TitleStatusHype
Joint Learning of POS and Dependencies for Multilingual Universal Dependency ParsingCode0
Tree-Stack LSTM in Transition Based Dependency ParsingCode0
BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla LemmatizerCode0
Development of a Hindi LemmatizerCode0
Morphological parsing of low‑resource languagesCode0
Knowledge Authoring with Factual EnglishCode0
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in MorphologyCode0
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural ModelsCode0
A Study of fastText Word Embedding Effects in Document Classification in Bangla LanguageCode0
\'UFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared TaskCode0
Show:102550
← PrevPage 35 of 36Next →

No leaderboard results yet.